4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2020
A New Modal Autoencoder for Functionally Independent Feature Extraction
Yuzhu Guo, Kang Pan, Simeng Li +3
Autoencoders have been widely used for dimensional reduction and feature extraction. Various types of autoencoders have been proposed by introducing regularization terms. Most of t…
cs.CV2018★ 4 cited
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis
Yang Li, Mengying Lei, Xianrui Zhang +4
Decoding EEG signals of different mental states is a challenging task for brain-computer interfaces (BCIs) due to nonstationarity of perceptual decision processes. This paper prese…
eess.SP2018★ 2 cited
A Parametric Time Frequency-Conditional Granger Causality Method Using Ultra-regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs
Yang Li, Mengying Lei, Weigang Cui +2
Objective: This study proposes a new parametric TF (time frequency) CGC (conditional Granger causality) method for high precision connectivity analysis over time and frequency in m…